library(tidyverse)
  library(maps)
  library(mapdata)
  library(lubridate)
  library(viridis)
  library(wesanderson)
  library(RColorBrewer)
  library(plotly)

Building Maps

Mapping Data Into Shapes

Interactive Graphs

Exercise

#1 TODO for the above graph “World COVID-19 Confirmed case” summarize the counts for each Country on the graph and update the graph to 9/26/2020. You may need to adjust the size of the points.

## # A tibble: 6 x 11
## # Groups:   Country_Region [6]
##   Country_Region Last_Update           Lat   Long Confirmed Deaths Recovered
##   <chr>          <dttm>              <dbl>  <dbl>     <dbl>  <dbl>     <dbl>
## 1 Afghanistan    2020-09-27 04:23:45  33.9  67.7      39192   1453     32635
## 2 Albania        2020-09-27 04:23:45  41.2  20.2      13153    375      7397
## 3 Algeria        2020-09-27 04:23:45  28.0   1.66     50914   1711     35756
## 4 Andorra        2020-09-27 04:23:45  42.5   1.52      1836     53      1263
## 5 Angola         2020-09-27 04:23:45 -11.2  17.9       4672    171      1639
## 6 Antigua and B… 2020-09-27 04:23:45  17.1 -61.8         98      3        92
## # … with 4 more variables: Active <dbl>, Combined_Key <chr>,
## #   Incidence_Rate <dbl>, `Case-Fatality_Ratio` <dbl>

#2

#3

#4